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ASCL Code Record

[ascl:1702.006] GalaxyGAN: Generative Adversarial Networks for recovery of galaxy features

GalaxyGAN uses Generative Adversarial Networks to reliably recover features in images of galaxies. The package uses machine learning to train on higher quality data and learns to recover detailed features such as galaxy morphology by effectively building priors. This method opens up the possibility of recovering more information from existing and future imaging data.

Code site:
http://space.ml/proj/GalaxyGAN.html
Appears in:
http://adsabs.harvard.edu/abs/2017arXiv170200403S
Bibcode:
2017ascl.soft02006S

ascl:1702.006
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